Logging metrics for go grpc server - go

Question

This is kindof an extension of my previous question Reuse log client in interceptor for Golang grpc server method.
Basically I have a grpc server (written in Go) that exposes three APIs:
SubmitJob
CancelJob
GetJobStatus
I am using Datadog to log metrics, so in each API, I have code like:
func (s *myServer) submitJob(ctx context.Context, request *submitJobRequest) (*submitJobResponse, error) {
s.dd_client.LogRequestCount("SubmitJob")
start_time := time.Now()
defer s.dd_client.LogRequestDuration("SubmitJob", time.Since(start_time))
sth, err:= someFunc1()
if err != nil {
s.dd_client.LogErrorCount("SubmitJob")
return nil, err
}
resp, err:= someFunc2(sth)
if err != nil {
s.dd_client.LogErrorCount("SubmitJob")
return nil, err
}
return resp, nil
}
This approach works but have several problems:
The LogRequestCount and LogRequestDuration is duplicated among all APIs
I am calling LogErrorCount in every places where errors are returned, which seems ugly
I learned that interceptor might help with logging, so I wrote an interceptor like
func (s *myServer) UnaryInterceptor(ctx context.Context,
request interface{},
info *grpc.UnaryServerInfo,
handler grpc.UnaryHandler,
) (interface{}, error) {
// Get method name e.g. SubmitJob, CancelJob, GetJobStatus
tmp := strings.Split(info.FullMethod, "/")
method := tmp[len(tmp)-1]
s.dd_client.LogRequestCount(method)
start_time := time.Now()
resp, err := handler(ctx, request)
server.dd_client.LogRequestDuration(method)
if err != nil {
s.dd_client.LogErrorCount(method)
}
return response, err
}
And set it in main() function:
server := grpc.NewServer(grpc.UnaryInterceptor(my_server.UnaryInterceptor))
This works for me, but I noticed two problems:
Here the interceptor takes myServer as a receiver, is this a good practice? I am doing this coz I want to reuse the Datadog client (dd_client) created within myServer. Other options would be create the Datadog client singleton which used by both interceptor and myServer, or create a interceptor struct and create a separate Datadog client there.
The interceptor could only handle logging for generic metrics e.g. request count, duration. But there could be metrics specific for each API, which means I still need to have logging related code in each API implementation. Then the question is, should I still use interceptor? Coz now the logging related code are splitted into two places (API implementation and interceptor).